Generalization error of deep neural networks: Role of classification margin and data structure
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Guillermo Sapiro | Miguel R. D. Rodrigues | Raja Giryes | G. Sapiro | Jure Sokolic | R. Giryes | M. Rodrigues | Jure Sokolić | Jure Sokolić
[1] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[2] Yann LeCun,et al. The Loss Surfaces of Multilayer Networks , 2014, AISTATS.
[3] Guillermo Sapiro,et al. Generalization Error of Invariant Classifiers , 2016, AISTATS.
[4] Vladimir Vapnik,et al. An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.
[5] Razvan Pascanu,et al. On the Number of Linear Regions of Deep Neural Networks , 2014, NIPS.
[6] G. Lewicki,et al. Approximation by Superpositions of a Sigmoidal Function , 2003 .
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Nakul Verma,et al. Distance Preserving Embeddings for General n-Dimensional Manifolds , 2012, COLT.
[9] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[10] Ryota Tomioka,et al. Norm-Based Capacity Control in Neural Networks , 2015, COLT.
[11] Shie Mannor,et al. Robustness and generalization , 2010, Machine Learning.
[12] Matus Telgarsky,et al. Benefits of Depth in Neural Networks , 2016, COLT.
[13] Peter L. Bartlett,et al. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results , 2003, J. Mach. Learn. Res..
[14] Tim Salimans,et al. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks , 2016, NIPS.
[15] Stéphane Mallat,et al. Group Invariant Scattering , 2011, ArXiv.
[16] Guillermo Sapiro,et al. Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? , 2015, IEEE Transactions on Signal Processing.
[17] Kurt Hornik,et al. Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.
[18] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[19] Nadav Cohen,et al. On the Expressive Power of Deep Learning: A Tensor Analysis , 2015, COLT 2016.
[20] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[21] Koray Kavukcuoglu,et al. Exploiting Cyclic Symmetry in Convolutional Neural Networks , 2016, ICML.
[22] Shai Ben-David,et al. Understanding Machine Learning: From Theory to Algorithms , 2014 .
[23] René Vidal,et al. Global Optimality in Tensor Factorization, Deep Learning, and Beyond , 2015, ArXiv.
[24] Stéphane Mallat,et al. Invariant Scattering Convolution Networks , 2012, IEEE transactions on pattern analysis and machine intelligence.